Do you want to publish a course? Click here

Modeling of the Dynamic Behavior of Photovoltaic Lead-Acid Batteries Using Kalman Filter

نمذجة ديناميكية لسلوك مدخرات الرصاص-حمض المستخدمة في النظم الكهرضوئية باستخدام مرشح كالمان

1418   3   18   0 ( 0 )
 Publication date 2016
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

The objective of this research is to model the dynamic characteristics of lead-acid batteries taking into account their fundamental phenomena (the electric double-layer, the charge transfer and diffusion phenomenon due to oxidation and reduction reactions). The value of the equivalent circuit elements used in modeling is determined experimentally using a pulsed discharge of the battery.



References used
DÜRR, M 2006- Dynamic model of a lead acid battery for use in a domestic fuel cell system, Journal of power Sources, Vol.161,1400-1411
PANT, P 2012- Project Completion Report On Design and Development of Batteries For Solar Photovoltaic Applications (MNRE Sanction No. 1/2 (01)/2006-SEC dated 22.02. 2008) Collaborative project Between CSIR-Central Electrochemical Research Institute, Karaikudi MNRE-Solar Energy Centre, New Delhi,87p
MAYER, D & BISCAGLIA, S 1989- Modelling and analysis of lead acid battery operation, Telecommunications Energy Conference,. INTELEC'89. Conference Proceedings, Eleventh International. IEEE, Vol. 2, 3-23
rate research

Read More

Geodetic monitoring networks should check the requirements of precision, stability, durability, strength, sensitivity and cost. Depending on this basis design the geodetic monitoring networks. Terrestrial surveying instruments adjust kinematic proces ses by high frequency measurements; therefore can select system state and its precision in real time depending on appropriate deformation model. In this research, liner kalman filter will be evaluated to improve the performance of geodetic monitoring networks, especially the currently used in monitoring of strategic infrastructure in the country, and achieve the highest level of security in the monitoring and development level of reliability and durability where, and apply it to the observed kinematic situation in 16 tishreen dam in lattakia city. Then check the efficiency of the evaluation by applied standards reliability, and the appropriateness of the application of kalman filter in deformation analysis. Finally, this research offers a set of conclusions and recommendations.
Modelling the relationship between drinking water turbidity and other indicators of water quality in Al-Sin drinking water purification plant using Dynamic Artificial neural networks could help in the implementation of the stabilization for the per formance of the plant because these neural networks provide efficient tool to deal with the complex, dynamic and non-linear nature of purification processes. They have the ability to response to various instant changes in parameters influencing water purification. In this research, four models of feed-forward back-propagation dynamic neural network were designed to predict the effluent turbidity from Al-Sin drinking water purification plant. The models were built based on turbidity, pH and conductivity of raw water data while the effluent turbidity data were used for verify the performance accuracy of each network. The results of this research confirm the ability of dynamic neural networks in modeling and simulating the non-linearity behavior of water turbidity as well as to predict its values. They can be used in Al-Sin drinking water purification plant in order to achieve the stabilization of its performance.
Optical filter is one of the most accurate and important elements in pure optical communication network which uses wavelength division multiplexing (WDM). This research includes studying Acousto Optic Tunable Filter (AOTF) in linear anisotropic mediu m, which depends on the interaction principle between optical waves and acoustic waves. This paper describes simulating and testing the AOTF in MATLAB/Simulink software which is a strong tool for simulating and designing various systems. We have achieved an AOTF model, and created special block which could be added to MATLAB Simulink Library. We have also evaluated the performance of this filter and its ability to select one wavelength between the set combined by WDM. Moreover, we have studied the effect of acoustic wave frequency, its velocity, the properties of the crystal used in manufacturing it, and other influent parameters, along the selected wavelength.
Recently PGB (photonic band gap) filters show a great development. Here we will present two different PGB filters with lattice etched in the ground plane. The rejection band characteristic is function of the number and shape of elements etched. Th ese filters are modelling by the FWCIP method.
Precise point positioning technique uses recursive algorithms to solve the navigation problem. In fact, traditional least square method doesn’t meet the requiredassessments of processing speed, and quality in different geodetic and surveying applic ations,due tobig amount of output processing data provided by global navigation satellite systems. Extended Kalman filter is considered as optimal solution approach of the navigation problem. This filter requiresthe knowledge of measurements, its observational models, and physical state for estimation problem like: (receiver dynamic, received signals characters, and suitable estimation of its initial conditions). Research refers to a mathematical suggestion, which reduce the negative effect of convergence time at EKF initial conditions. This work also shows how a position estimation accuracy affected by the suggested modification of using EKF in PPP, and supporting the use ofthis modification in position estimation field, in spite of increasing processing time.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا